Last week I had the opportunity to meet a company that to have cracked the code on many of these longstanding challenges, around enterprise data storage and management of it:

Complexity and Fragmentation
Cost
Legacy Systems
Security Concerns
Scalability
Resistance to Change
Interoperability Challenges
Lack of Standardization
Data Silos
Data Governance and Compliance

I witnessed firsthand how they effortlessly handled massive amounts of data from multiple sources, all without the need for manual data cleaning, filtering, or normalization manually by teams of people or data scientists.

On the very same day I happened to be visiting this company App Orchid Inc, their patent for ( / ) was approved—April 10, 2024. Talk about perfect timing! It was great to meet and talk with both Vaibhav Nadgauda, ( ℎ ), and Paul Freudenberg ( ℎ ).

Finally, it seems there’s a solution that doesn’t require enterprises to embark on the daunting task of building data ponds, lakes, warehouses, or data fabrics. With this new platform, from App Orchid, you can simply leave your data where it is and let AO handle the rest.

Need to establish LLM connections and ask probing questions about your data? Consider it done. Want tried-and-true models to analyze your data and generate insights? AO has got you covered. Let me assure you—I’ve seen it in action myself, and I’m genuinely impressed.

Here’s the patent number: [20220121964]. Take a look for yourself. This isn’t just hype; it’s a game-changer in the world of enterprise data management.

#ceo #cio #leadership #patent #autonomousenterprise

: The views expressed in this post are my own. The views within any of my posts, or articles are not those of my employer or the employers of any contributing experts. this post? Click icon for more!